Agent Skills
› Fullive-AI/Anima
› air_conditioner
air_conditioner
GitHub用于智能家居场景中空调设备的智能控制决策,涵盖舒适度调节、能效优化及偏好学习。支持根据温度、湿度和能耗启发式规则生成开关、模式切换或温度设置指令。
Trigger Scenarios
用户请求调节室内温度或空调模式
需要基于历史数据优化空调使用策略
评估空调运行对舒适度和能耗的影响
Install
npx skills add Fullive-AI/Anima --skill air_conditioner -g -y
SKILL.md
Frontmatter
{
"name": "air_conditioner",
"metadata": {
"version": "0.1.0",
"device_types": [
"air_conditioner"
]
},
"description": "Use when reasoning about air conditioners in Anima. Covers comfort temperature ranges, energy heuristics, humidity interaction, and choosing `set_temperature`, `set_mode`, `turn_on`, or `turn_off`."
}
Air Conditioner
Use this skill for device-level cooling and heating decisions plus preference learning.
Load These Resources
references/knowledge.mdfor comfort temperatures, energy heuristics, and device interaction rules.references/decide.mdwhen generating a single-device action.references/learn.mdwhen updating the learned profile from usage history.scripts/actions.pyfor the structured action helpers exposed to the runtime.
Working Rules
- Optimize for comfort without ignoring energy cost.
- Treat humidity side effects as part of the decision, not a separate concern.
- Prefer no-op over unnecessary cycling near the target range.
Version History
- 15e7c43 Current 2026-07-05 18:36


